6 results match your criteria: "Department of Physics University of Azad Jammu and Kashmir[Affiliation]"

Correlation of radon anomalies with meteorological parameters and earthquake occurrence has been reported in many studies. This paper reports descriptive statistical analysis and boxplot contingent earthquake prediction based upon soil radon time series data. Data has been collected over a fault line, passing beneath the Muzaffarabad, for the period of one year.

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Article Synopsis
  • The article explains the development of three computational intelligence models designed to identify unusual patterns in soil radon gas time series data collected from a fault line.
  • These models utilized various machine learning techniques to analyze radon concentrations in relation to meteorological data and other statistical factors, aiming to detect anomalies linked to seismic events.
  • Results indicated that, after controlling for noise, the anomalies in radon data were primarily attributed to seismic activity, highlighting the importance of environmental conditions in interpreting these readings.
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Because (222)Rn is a progeny of (238)U, the relative abundance of uranium may be used to predict the areas that have the potential for high indoor radon concentration and therefore determine the best areas to conduct future surveys. Geographic Information System (GIS) mapping software was used to construct maps of South Dakota that included levels of uranium concentrations in soil and stream water and uranium deposits. Maps of existing populations and the types of land were also generated.

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This study presents the intercomparison of the outdoor environmental gamma dose rates measured using a NaI (Tl) based survey meter along with thermoluminescent dosimeters (TLDs) and estimation of excess lifetime cancer risk (ELCR), for the inhabitants of Poonch division of the Azad Kashmir, Pakistan. CaF2: Dy (TLD-200) card dosimeters were installed at height of 1 m from ground at fifteen different locations covering the entire Poonch division comprising of three districts. During three distinct two month time periods within the six month study period, all the installed dosimeters were exposed to outdoor environmental gamma radiations, retrieved and read out at Radiation Dosimetry Laboratory, Health Physics Division, PINSTECH laboratory, Islamabad.

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Sorting a large set of heavily used LiF:Mg,Ti thermoluminescent detectors into repeatable subsets of similar response.

Appl Radiat Isot

January 2015

Department of Nuclear Engineering and Radiological Sciences, University of Michigan, 2355 Bonisteel Blvd., Ann Arbor, MI 48109-2104, USA; Department of Physics University of Azad Jammu and Kashmir Muzaffarbad, 13100 Azad Kashmir, Pakistan.

A set of 920 heavily used LiF:Mg,Ti thermoluminescent dosimeters (TLDs) was placed into a polymethyl methacrylate (PMMA) plate attached to a 40×40×15cm PMMA phantom and irradiated to 4.52mGy using a Cs source. This was repeated three times to determine the mean and standard deviation of each TLD׳s sensitivity.

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